Multiple Object Tracking On Kitti Test Online

评估指标

HOTA

IDSW

MOTA

评测结果

各个模型在此基准测试上的表现结果

				Paper Title	Repository
RobMOT	81.76	7	91.02	RobMOT: Robust 3D Multi-Object Tracking by Observational Noise and State Estimation Drift Mitigation on LiDAR PointCloud
LEGO	80.75	214	90.61	LEGO: Learning and Graph-Optimized Modular Tracker for Online Multi-Object Tracking with Point Clouds	-
UCMCTrack	77.1	-	90.4	UCMCTrack: Multi-Object Tracking with Uniform Camera Motion Compensation
OC-SORT	76.5	250	90.3	Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking
KFDL	81.06	22	90.29	-	-
SRK ODESA	-	-	90.03	Learning Local Feature Descriptors for Multiple Object Tracking	-
MCTrack	81.07	64	89.82	MCTrack: A Unified 3D Multi-Object Tracking Framework for Autonomous Driving
IMM-JHSE	79.21	177	89.8	One Homography is All You Need: IMM-based Joint Homography and Multiple Object State Estimation
C-TWiX	77.58	381	89.68	Learning Data Association for Multi-Object Tracking using Only Coordinates
CenterTrack	73.02	-	89.44	Tracking Objects as Points
VirConvTrack	79.9	201	89.1	Virtual Sparse Convolution for Multimodal 3D Object Detection
DEFT	74.23	-	88.95	DEFT: Detection Embeddings for Tracking
EagerMOT	74.39	239	87.82	EagerMOT: 3D Multi-Object Tracking via Sensor Fusion
QD-3DT	72.77	-	86.41	Monocular Quasi-Dense 3D Object Tracking
CasTrack	77.3	184	86,29	-	-
JRMOT	69.61	-	85.70	JRMOT: A Real-Time 3D Multi-Object Tracker and a New Large-Scale Dataset
MOSTFusion	-	-	84.83	MOTS: Multi-Object Tracking and Segmentation	-
mmMOT	62.05	-	84.77	Robust Multi-Modality Multi-Object Tracking
mmMOT-normal	-	-	84.77	Robust Multi-Modality Multi-Object Tracking
3DT	-	-	84.52	Joint Monocular 3D Vehicle Detection and Tracking

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